Datasets:
metadata
license: mit
language:
- en
pretty_name: FXFunds Blockchain Technology Benchmarks
size_categories:
- n<1K
task_categories:
- tabular-classification
tags:
- blockchain
- usdt
- stablecoin
- erc20
- trc20
- ton
- transaction-analysis
- fintech
- fxfunds
configs:
- config_name: default
data_files: blockchain_transaction_benchmarks.csv
FXFunds Blockchain Technology — Transaction Benchmarks
Synthetic sample USDT transaction records across Ethereum (ERC20), Tron (TRC20) and TON, scored by the FXFunds Transaction Signal Analyzer. Built by FXFunds.
Note: All 20 records are synthetic and for testing and demonstration only. They are not real on-chain transactions.
Columns
| Column | Description |
|---|---|
| sample_id | Record ID |
| network | ERC20, TRC20 or TON |
| asset | USDT |
| tx_hash | Transaction hash (synthetic) |
| from_address / to_address | Sender and recipient (synthetic) |
| amount_usdt | Transfer amount |
| fee_usdt | Network fee in USDT |
| confirmations | Confirmations observed |
| settlement_seconds | Settlement time (blank = not supplied) |
| address_validity … data_completeness | Six signal scores, 0–100 |
| overall_score | Average of the six signals |
| status | Critical / At Risk / Healthy / Excellent |
| weakest_signal | Lowest-scoring signal |
Score Interpretation
| Score | Status |
|---|---|
| 0–30 | Critical |
| 31–60 | At Risk |
| 61–80 | Healthy |
| 81–100 | Excellent |
Usage
from datasets import load_dataset
ds = load_dataset("FXFunds/blockchain-technology-benchmarks")
Score your own transactions with the analyzer:
pip install fxfunds-blockchain-technology
fxfunds-blockchain --network trc20 --hash <tx_hash> --from <address> --to <address> --amount 250 --fee 1.1 --confirmations 25 --seconds 45
Citation
@software{fxfunds_blockchain_technology,
author = {FXFunds},
title = {FXFunds Blockchain Technology},
year = {2026},
publisher = {Zenodo},
doi = {10.5281/zenodo.23424646},
url = {https://doi.org/10.5281/zenodo.23424646}
}
Links
License
MIT — FXFunds